In this tutorial, I'll walk you through the process of building an API for Large Language Models (LLMs) inference using Rust. You'll be amazed at how fast and efficient this can be on your CPU. We'll dive into the 'LLM' library by Rustformers, exploring its seamless integration with LLMs and how it leverages model quantization from the GGML project. I'll show you how to create a Rust-based web server for CPU-based AI inference, and I'll even demonstrate how to integrate it into a Streamlit app. Don't forget to like, comment, and subscribe for more AI content.
GitHub Repo: https://github.com/AIAnytime/LLM-Inference-API-in-Rust
Rustformers/LLM Github: https://github.com/rustformers/llm
LLM Model: https://huggingface.co/rustformers/open-llama-ggml/tree/main
#rust #llm #ai
GitHub Repo: https://github.com/AIAnytime/LLM-Inference-API-in-Rust
Rustformers/LLM Github: https://github.com/rustformers/llm
LLM Model: https://huggingface.co/rustformers/open-llama-ggml/tree/main
#rust #llm #ai